Google announced that Coral TPU is now support Mac OS! Unfortunately, there are several limitations. The official TF lite distribution only supports Mac OS >10.14. However, the .whl file is just .zip file. so, Download the .whl with proper Python version, unzip and copy them to dist-packages folder just works. After install edgetpu runtime file,Continue Reading
Finally Intel OpenVino supports NCS2 in MacOS
From Intel OpenVino Version 2019R3, NCS2 is fully supported in MacOS. The Official page mentioned the minimum requirement is 10.4.4, but the Installation and Compilation completed flawlessly in 10.3.6. As expected, slight fluctuations in probability were observed. To run examples, it is recommended to install OpenCV independently, instead of OpenCV-Core-Vino automatically installed with OpenVino installer.Continue Reading
Setting up iCub
Amazing Challenge!
Install Caffe with CUDA support in High Sierra
1. Download and install anaconda 2. Download protobuf 3.5.1 source and compile, install. 3. Install Dependencies with homebrew brew install -vd snappy leveldb gflags glog szip lmdbhdf5 opencv brew install boost@1.59 boost-python@1.59 brew link boost@1.59 –force brew link boost-python@1.59 –force 4.git clone https://github.com/BVLC/caffe.git 5.cp Makefile.config.example Makefile.config 5.1. USE_CUDNN := 1 OPENCV_VERSION: = 3 CUDA_DIR :=Continue Reading
How to backup automatically SciNote deployed in local server
Install drivesync in ubuntu. (https://github.com/MStadlmeier/drivesync) Make Sync.sh Script as below.#! /usr/bin/env bash Cd /home/$username/Scinote docker exec scinote_db_production pg_dump -h localhost -p 5432 -U postgres -d scinote_production -c -b -f /home/db.bak docker cp scinote_db_production:/home/db.bak /home/$username/Documents/drive/Backup/SciNote/Files/ docker cp scinote_web_production:/usr/src/app/public/system /home/$username/Documents/drive/Backup/SciNote/Files/cd /home/$username/Downloads/drivesync ruby drivesync.rb chmod +x Sync.sh Automate using Crontab. Data recovery If you are restoringContinue Reading
Tensorflow 1.12 in MacOS High Sierra with Cuda from Source
After numerous trial-and-error, Tensorflow 1.12 with Cuda is successfully compiled in MacOS High Sierra (in Mac Pro 2012). Prerequisites Cuda toolkit 10.1, cuDNN 7.5 Python 3.6 XCode 8.3.2 0. Install bazel (for unknown reason 0.18.1 causes pip installer problem). Download bazel-0.18.0-installer-darwin-x86_64.sh from https://github.com/bazelbuild/bazel/releases. chmod +x bazel-0.18.0-installer-darwin-x86_64.sh sudo ./bazel-0.18.0-installer-darwin-x86_64.sh 1. Make a working folder and clone Tensorflow code.Continue Reading
Practical Tips for Recording Physiological Data in MRI
http://blog.biopac.com/practical-considerations-when-recording-physiological-data-in-the-mri/
Merging anatomical regions
Preparation 1. Download the program for extract annotation table to LUT file. GWFSAnnotToLUT 2. Extract the annotation file and save it as editable format. WFSAnnotToLUT annot_file_path output_file_path For example, GWFSAnnotToLUT /iPsych/freesurfer/subjects/001/label/lh.aparc.annot /iPsych/freesurfer/subjects/001/label/lh.annot.txt *replace the subject directory and subject numberings. Create new lookup table 1. Follow the guides below.